alexanderquispe/Diplomado_PUCP
Aug 2025 – Aug 2025
1 Month active
Languages Used
JSONPython
Technical Skills
Data StructuresData TypesJupyter NotebooksPython Programming
Piero Benate
PROFILE
Piero Benate
During August 2025, Pablo Benate developed a Data Types and Data Structures Tutorial Notebook for the alexanderquispe/Diplomado_PUCP repository, focusing on foundational Python programming concepts. He designed hands-on exercises in Jupyter Notebooks to illustrate the use and type checking of integers, floats, strings, and booleans, as well as practical operations like list appending and demonstrating tuple immutability. The artifact was tailored for classroom deployment, supporting self-guided learning and reproducibility. By leveraging Python and JSON, Pablo ensured the material aligned with course objectives and maintained clear version control, resulting in a robust, classroom-ready resource with traceable collaborative development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
283
Activity Months1
Your Network
89 people
Work History
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly performance summary for alexanderquispe/Diplomado_PUCP: Delivered a hands-on Data Types and Data Structures Tutorial Notebook that provides Python code examples for integers, floats, strings, booleans, and demonstrates list append operations along with the immutability of tuples. This artifact supports onboarding and practical learning, enabling self-guided practice aligned with course objectives. No major bugs were reported this month. Impact: strengthens teaching materials, enhances reproducibility for classroom use, and accelerates learner proficiency in Python fundamentals. Technologies/skills demonstrated: Python, Jupyter notebooks, data types and structures concepts, type checking basics, and Git-based collaboration.
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly performance summary for alexanderquispe/Diplomado_PUCP: Delivered a hands-on Data Types and Data Structures Tutorial Notebook that provides Python code examples for integers, floats, strings, booleans, and demonstrates list append operations along with the immutability of tuples. This artifact supports onboarding and practical learning, enabling self-guided practice aligned with course objectives. No major bugs were reported this month. Impact: strengthens teaching materials, enhances reproducibility for classroom use, and accelerates learner proficiency in Python fundamentals. Technologies/skills demonstrated: Python, Jupyter notebooks, data types and structures concepts, type checking basics, and Git-based collaboration.
August 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONPython
Technical Skills
Data StructuresData TypesJupyter NotebooksPython Programming
Repositories Contributed To
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